Profiling Report

Dataset statistics

Number of variables	23
Number of observations	158
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	29.6 KiB
Average record size in memory	192.0 B

Variable types

Numeric	16
Categorical	7

Alerts

`Card_Category` has constant value ""	Constant
`Customer_Age` is highly overall correlated with `Months_on_book`	High correlation
`Months_on_book` is highly overall correlated with `Customer_Age`	High correlation
`Months_Inactive_12_mon` is highly overall correlated with `Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1` and 1 other fields	High correlation
`Contacts_Count_12_mon` is highly overall correlated with `Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1` and 1 other fields	High correlation
`Credit_Limit` is highly overall correlated with `Avg_Open_To_Buy` and 1 other fields	High correlation
`Total_Revolving_Bal` is highly overall correlated with `Attrition_Flag`	High correlation
`Avg_Open_To_Buy` is highly overall correlated with `Credit_Limit` and 1 other fields	High correlation
`Total_Trans_Amt` is highly overall correlated with `Total_Trans_Ct`	High correlation
`Total_Trans_Ct` is highly overall correlated with `Total_Trans_Amt` and 1 other fields	High correlation
`Avg_Utilization_Ratio` is highly overall correlated with `Credit_Limit` and 1 other fields	High correlation
`Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1` is highly overall correlated with `Months_Inactive_12_mon` and 3 other fields	High correlation
`Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2` is highly overall correlated with `Months_Inactive_12_mon` and 3 other fields	High correlation
`Attrition_Flag` is highly overall correlated with `Total_Revolving_Bal` and 3 other fields	High correlation
`Gender` is highly overall correlated with `Income_Category`	High correlation
`Income_Category` is highly overall correlated with `Gender`	High correlation
`CLIENTNUM` has unique values	Unique
`Dependent_count` has 15 (9.5%) zeros	Zeros
`Contacts_Count_12_mon` has 10 (6.3%) zeros	Zeros

Reproduction

Analysis started	2023-11-07 10:20:20.977061
Analysis finished	2023-11-07 10:20:46.726981
Duration	25.75 seconds
Software version	ydata-profiling vv4.6.1
Download configuration	config.json

CLIENTNUM
Real number (ℝ)

UNIQUE

Distinct	158
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.4247182 × 10⁸

Minimum	7.0839701 × 10⁸
Maximum	8.2828833 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	7.0839701 × 10⁸
5-th percentile	7.098795 × 10⁸
Q1	7.1410218 × 10⁸
median	7.177149 × 10⁸
Q3	7.7950177 × 10⁸
95-th percentile	8.190501 × 10⁸
Maximum	8.2828833 × 10⁸
Range	1.1989132 × 10⁸
Interquartile range (IQR)	65399588

Descriptive statistics

Standard deviation	39299580
Coefficient of variation (CV)	0.052930737
Kurtosis	-0.84528214
Mean	7.4247182 × 10⁸
Median Absolute Deviation (MAD)	5567212.5
Skewness	0.89019404
Sum	1.1731055 × 10¹¹
Variance	1.544457 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
715190283	1	0.6%
712613808	1	0.6%
820868508	1	0.6%
789095958	1	0.6%
708397008	1	0.6%
779405133	1	0.6%
789907533	1	0.6%
823908858	1	0.6%
716689383	1	0.6%
715418508	1	0.6%
Other values (148)	148	93.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
708397008	1	0.6%
708426483	1	0.6%
708702258	1	0.6%
708880683	1	0.6%
709094358	1	0.6%
709273383	1	0.6%
709310433	1	0.6%
709788783	1	0.6%
709895508	1	0.6%
710357208	1	0.6%

Value	Count	Frequency (%)
828288333	1	0.6%
827901183	1	0.6%
826548708	1	0.6%
823928058	1	0.6%
823908858	1	0.6%
823621083	1	0.6%
822138333	1	0.6%
820868508	1	0.6%
818729208	1	0.6%
818375733	1	0.6%

Attrition_Flag
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

Existing Customer	127
Attrited Customer	31

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	2686
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Existing Customer
2nd row	Existing Customer
3rd row	Existing Customer
4th row	Attrited Customer
5th row	Existing Customer

Common Values

Value	Count	Frequency (%)
Existing Customer	127	80.4%
Attrited Customer	31	19.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
customer	158	50.0%
existing	127	40.2%
attrited	31	9.8%

Most occurring characters

Value	Count	Frequency (%)
t	378	14.1%
i	285	10.6%
s	285	10.6%
e	189	7.0%
r	189	7.0%
	158	5.9%
C	158	5.9%
u	158	5.9%
o	158	5.9%
m	158	5.9%
Other values (6)	570	21.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2212	82.4%
Uppercase Letter	316	11.8%
Space Separator	158	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	378	17.1%
i	285	12.9%
s	285	12.9%
e	189	8.5%
r	189	8.5%
u	158	7.1%
o	158	7.1%
m	158	7.1%
x	127	5.7%
n	127	5.7%
Other values (2)	158	7.1%

Uppercase Letter

Value	Count	Frequency (%)
C	158	50.0%
E	127	40.2%
A	31	9.8%

Space Separator

Value	Count	Frequency (%)
	158	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2528	94.1%
Common	158	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	378	15.0%
i	285	11.3%
s	285	11.3%
e	189	7.5%
r	189	7.5%
C	158	6.2%
u	158	6.2%
o	158	6.2%
m	158	6.2%
E	127	5.0%
Other values (5)	443	17.5%

Common

Value	Count	Frequency (%)
	158	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2686	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	378	14.1%
i	285	10.6%
s	285	10.6%
e	189	7.0%
r	189	7.0%
	158	5.9%
C	158	5.9%
u	158	5.9%
o	158	5.9%
m	158	5.9%
Other values (6)	570	21.2%

Customer_Age
Real number (ℝ)

HIGH CORRELATION

Distinct	33
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.829114

Minimum	30
Maximum	65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	30
5-th percentile	35.85
Q1	43
median	48
Q3	52
95-th percentile	61
Maximum	65
Range	35
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.4021799
Coefficient of variation (CV)	0.15476306
Kurtosis	-0.19481356
Mean	47.829114
Median Absolute Deviation (MAD)	5
Skewness	0.073355251
Sum	7557
Variance	54.792268
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
51	14	8.9%
45	13	8.2%
50	10	6.3%
47	9	5.7%
49	9	5.7%
48	8	5.1%
54	7	4.4%
37	7	4.4%
56	7	4.4%
44	6	3.8%
Other values (23)	68	43.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	0.6%
31	1	0.6%
34	4	2.5%
35	2	1.3%
36	2	1.3%
37	7	4.4%
38	2	1.3%
39	4	2.5%
40	4	2.5%
41	3	1.9%

Value	Count	Frequency (%)
65	2	1.3%
64	3	1.9%
63	1	0.6%
62	1	0.6%
61	3	1.9%
60	1	0.6%
59	3	1.9%
57	2	1.3%
56	7	4.4%
55	5	3.2%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

F	86
M	72

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	158
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	F
3rd row	F
4th row	F
5th row	M

Common Values

Value	Count	Frequency (%)
F	86	54.4%
M	72	45.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	86	54.4%
m	72	45.6%

Most occurring characters

Value	Count	Frequency (%)
F	86	54.4%
M	72	45.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	158	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	86	54.4%
M	72	45.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	158	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	86	54.4%
M	72	45.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	86	54.4%
M	72	45.6%

Dependent_count
Real number (ℝ)

ZEROS

Distinct	6
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4113924

Minimum	0
Maximum	5
Zeros	15
Zeros (%)	9.5%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.2675758
Coefficient of variation (CV)	0.52566135
Kurtosis	-0.38155799
Mean	2.4113924
Median Absolute Deviation (MAD)	1
Skewness	-0.14992776
Sum	381
Variance	1.6067484
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	49	31.0%
2	46	29.1%
4	22	13.9%
1	19	12.0%
0	15	9.5%
5	7	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	9.5%
1	19	12.0%
2	46	29.1%
3	49	31.0%
4	22	13.9%
5	7	4.4%

Value	Count	Frequency (%)
5	7	4.4%
4	22	13.9%
3	49	31.0%
2	46	29.1%
1	19	12.0%
0	15	9.5%

Education_Level
Categorical

Distinct	5
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

Graduate	78
Uneducated	29
Unknown	25
College	15
Doctorate	11

Length

Max length	10
Median length	9
Mean length	8.1835443
Min length	7

Characters and Unicode

Total characters	1293
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Graduate
2nd row	Graduate
3rd row	Uneducated
4th row	Uneducated
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Graduate	78	49.4%
Uneducated	29	18.4%
Unknown	25	15.8%
College	15	9.5%
Doctorate	11	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
graduate	78	49.4%
uneducated	29	18.4%
unknown	25	15.8%
college	15	9.5%
doctorate	11	7.0%

Most occurring characters

Value	Count	Frequency (%)
a	196	15.2%
e	177	13.7%
d	136	10.5%
t	129	10.0%
u	107	8.3%
n	104	8.0%
r	89	6.9%
G	78	6.0%
o	62	4.8%
U	54	4.2%
Other values (7)	161	12.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1135	87.8%
Uppercase Letter	158	12.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	196	17.3%
e	177	15.6%
d	136	12.0%
t	129	11.4%
u	107	9.4%
n	104	9.2%
r	89	7.8%
o	62	5.5%
c	40	3.5%
l	30	2.6%
Other values (3)	65	5.7%

Uppercase Letter

Value	Count	Frequency (%)
G	78	49.4%
U	54	34.2%
C	15	9.5%
D	11	7.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1293	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	196	15.2%
e	177	13.7%
d	136	10.5%
t	129	10.0%
u	107	8.3%
n	104	8.0%
r	89	6.9%
G	78	6.0%
o	62	4.8%
U	54	4.2%
Other values (7)	161	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1293	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	196	15.2%
e	177	13.7%
d	136	10.5%
t	129	10.0%
u	107	8.3%
n	104	8.0%
r	89	6.9%
G	78	6.0%
o	62	4.8%
U	54	4.2%
Other values (7)	161	12.5%

Marital_Status
Categorical

Distinct	4
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

Single	73
Married	68
Unknown	11
Divorced	6

Length

Max length	8
Median length	7.5
Mean length	6.5759494
Min length	6

Characters and Unicode

Total characters	1039
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unknown
2nd row	Married
3rd row	Single
4th row	Single
5th row	Married

Common Values

Value	Count	Frequency (%)
Single	73	46.2%
Married	68	43.0%
Unknown	11	7.0%
Divorced	6	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
single	73	46.2%
married	68	43.0%
unknown	11	7.0%
divorced	6	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	147	14.1%
i	147	14.1%
r	142	13.7%
n	106	10.2%
d	74	7.1%
S	73	7.0%
l	73	7.0%
g	73	7.0%
M	68	6.5%
a	68	6.5%
Other values (7)	68	6.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	881	84.8%
Uppercase Letter	158	15.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	147	16.7%
i	147	16.7%
r	142	16.1%
n	106	12.0%
d	74	8.4%
l	73	8.3%
g	73	8.3%
a	68	7.7%
o	17	1.9%
k	11	1.2%
Other values (3)	23	2.6%

Uppercase Letter

Value	Count	Frequency (%)
S	73	46.2%
M	68	43.0%
U	11	7.0%
D	6	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1039	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	147	14.1%
i	147	14.1%
r	142	13.7%
n	106	10.2%
d	74	7.1%
S	73	7.0%
l	73	7.0%
g	73	7.0%
M	68	6.5%
a	68	6.5%
Other values (7)	68	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1039	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	147	14.1%
i	147	14.1%
r	142	13.7%
n	106	10.2%
d	74	7.1%
S	73	7.0%
l	73	7.0%
g	73	7.0%
M	68	6.5%
a	68	6.5%
Other values (7)	68	6.5%

Income_Category
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

Less than $40K	51
$40K - $60K	33
$60K - $80K	30
Unknown	22
$80K - $120K	14

Length

Max length	14
Median length	12
Mean length	11.297468
Min length	7

Characters and Unicode

Total characters	1785
Distinct characters	22
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$40K - $60K
2nd row	Unknown
3rd row	$40K - $60K
4th row	Unknown
5th row	$80K - $120K

Common Values

Value	Count	Frequency (%)
Less than $40K	51	32.3%
$40K - $60K	33	20.9%
$60K - $80K	30	19.0%
Unknown	22	13.9%
$80K - $120K	14	8.9%
$120K +	8	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	85	20.1%
40k	84	19.9%
60k	63	14.9%
less	51	12.1%
than	51	12.1%
80k	44	10.4%
unknown	22	5.2%
120k	22	5.2%

Most occurring characters

Value	Count	Frequency (%)
	264	14.8%
K	213	11.9%
0	213	11.9%
$	213	11.9%
n	117	6.6%
s	102	5.7%
4	84	4.7%
-	77	4.3%
6	63	3.5%
e	51	2.9%
Other values (12)	388	21.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	489	27.4%
Decimal Number	448	25.1%
Uppercase Letter	286	16.0%
Space Separator	264	14.8%
Currency Symbol	213	11.9%
Dash Punctuation	77	4.3%
Math Symbol	8	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	117	23.9%
s	102	20.9%
e	51	10.4%
a	51	10.4%
h	51	10.4%
t	51	10.4%
k	22	4.5%
o	22	4.5%
w	22	4.5%

Decimal Number

Value	Count	Frequency (%)
0	213	47.5%
4	84	18.8%
6	63	14.1%
8	44	9.8%
1	22	4.9%
2	22	4.9%

Uppercase Letter

Value	Count	Frequency (%)
K	213	74.5%
L	51	17.8%
U	22	7.7%

Space Separator

Value	Count	Frequency (%)
	264	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	213	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	77	100.0%

Math Symbol

Value	Count	Frequency (%)
+	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1010	56.6%
Latin	775	43.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
K	213	27.5%
n	117	15.1%
s	102	13.2%
e	51	6.6%
L	51	6.6%
a	51	6.6%
h	51	6.6%
t	51	6.6%
U	22	2.8%
k	22	2.8%
Other values (2)	44	5.7%

Common

Value	Count	Frequency (%)
	264	26.1%
0	213	21.1%
$	213	21.1%
4	84	8.3%
-	77	7.6%
6	63	6.2%
8	44	4.4%
1	22	2.2%
2	22	2.2%
+	8	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1785	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	264	14.8%
K	213	11.9%
0	213	11.9%
$	213	11.9%
n	117	6.6%
s	102	5.7%
4	84	4.7%
-	77	4.3%
6	63	3.5%
e	51	2.9%
Other values (12)	388	21.7%

Card_Category
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

Blue	158

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	632
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Blue
2nd row	Blue
3rd row	Blue
4th row	Blue
5th row	Blue

Common Values

Value	Count	Frequency (%)
Blue	158	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
blue	158	100.0%

Most occurring characters

Value	Count	Frequency (%)
B	158	25.0%
l	158	25.0%
u	158	25.0%
e	158	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	474	75.0%
Uppercase Letter	158	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	158	33.3%
u	158	33.3%
e	158	33.3%

Uppercase Letter

Value	Count	Frequency (%)
B	158	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	632	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	158	25.0%
l	158	25.0%
u	158	25.0%
e	158	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	632	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	158	25.0%
l	158	25.0%
u	158	25.0%
e	158	25.0%

Months_on_book
Real number (ℝ)

HIGH CORRELATION

Distinct	34
Distinct (%)	21.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.563291

Minimum	13
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	13
5-th percentile	24.85
Q1	33
median	36
Q3	42
95-th percentile	51
Maximum	56
Range	43
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	8.040846
Coefficient of variation (CV)	0.21406128
Kurtosis	0.24368305
Mean	37.563291
Median Absolute Deviation (MAD)	5
Skewness	-0.0011778359
Sum	5935
Variance	64.655204
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
36	30	19.0%
40	10	6.3%
41	10	6.3%
46	8	5.1%
35	8	5.1%
39	7	4.4%
43	6	3.8%
32	6	3.8%
28	6	3.8%
33	5	3.2%
Other values (24)	62	39.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	0.6%
19	1	0.6%
20	1	0.6%
22	4	2.5%
24	1	0.6%
25	2	1.3%
26	3	1.9%
27	3	1.9%
28	6	3.8%
29	4	2.5%

Value	Count	Frequency (%)
56	5	3.2%
54	2	1.3%
51	2	1.3%
50	2	1.3%
49	2	1.3%
48	3	1.9%
47	5	3.2%
46	8	5.1%
45	3	1.9%
44	1	0.6%

Total_Relationship_Count
Categorical

Distinct	3
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.5 KiB

3	70
4	50
2	38

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	158
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	4
3rd row	2
4th row	3
5th row	4

Common Values

Value	Count	Frequency (%)
3	70	44.3%
4	50	31.6%
2	38	24.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	70	44.3%
4	50	31.6%
2	38	24.1%

Most occurring characters

Value	Count	Frequency (%)
3	70	44.3%
4	50	31.6%
2	38	24.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	70	44.3%
4	50	31.6%
2	38	24.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	158	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	70	44.3%
4	50	31.6%
2	38	24.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	70	44.3%
4	50	31.6%
2	38	24.1%

Months_Inactive_12_mon
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4367089

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4.15
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1083559
Coefficient of variation (CV)	0.45485774
Kurtosis	1.8342674
Mean	2.4367089
Median Absolute Deviation (MAD)	1
Skewness	1.0004781
Sum	385
Variance	1.2284528
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	60	38.0%
2	52	32.9%
1	32	20.3%
4	6	3.8%
6	5	3.2%
5	3	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	32	20.3%
2	52	32.9%
3	60	38.0%
4	6	3.8%
5	3	1.9%
6	5	3.2%

Value	Count	Frequency (%)
6	5	3.2%
5	3	1.9%
4	6	3.8%
3	60	38.0%
2	52	32.9%
1	32	20.3%

Contacts_Count_12_mon
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	6
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4746835

Minimum	0
Maximum	5
Zeros	10
Zeros (%)	6.3%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1269674
Coefficient of variation (CV)	0.45539861
Kurtosis	-0.23726594
Mean	2.4746835
Median Absolute Deviation (MAD)	1
Skewness	-0.42300737
Sum	391
Variance	1.2700556
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	61	38.6%
2	41	25.9%
4	24	15.2%
1	20	12.7%
0	10	6.3%
5	2	1.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10	6.3%
1	20	12.7%
2	41	25.9%
3	61	38.6%
4	24	15.2%
5	2	1.3%

Value	Count	Frequency (%)
5	2	1.3%
4	24	15.2%
3	61	38.6%
2	41	25.9%
1	20	12.7%
0	10	6.3%

Credit_Limit
Real number (ℝ)

HIGH CORRELATION

Distinct	157
Distinct (%)	99.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5913.6392

Minimum	3521
Maximum	9397
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	3521
5-th percentile	3658.35
Q1	4216
median	5614.5
Q3	7319.25
95-th percentile	8995.6
Maximum	9397
Range	5876
Interquartile range (IQR)	3103.25

Descriptive statistics

Standard deviation	1793.0355
Coefficient of variation (CV)	0.3032034
Kurtosis	-1.1847606
Mean	5913.6392
Median Absolute Deviation (MAD)	1500.5
Skewness	0.36928355
Sum	934355
Variance	3214976.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7169	2	1.3%
3672	1	0.6%
4170	1	0.6%
7106	1	0.6%
7603	1	0.6%
3805	1	0.6%
5716	1	0.6%
4576	1	0.6%
3861	1	0.6%
3649	1	0.6%
Other values (147)	147	93.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3521	1	0.6%
3532	1	0.6%
3540	1	0.6%
3585	1	0.6%
3626	1	0.6%
3640	1	0.6%
3642	1	0.6%
3649	1	0.6%
3660	1	0.6%
3667	1	0.6%

Value	Count	Frequency (%)
9397	1	0.6%
9317	1	0.6%
9300	1	0.6%
9227	1	0.6%
9204	1	0.6%
9148	1	0.6%
9104	1	0.6%
9033	1	0.6%
8989	1	0.6%
8900	1	0.6%

Total_Revolving_Bal
Real number (ℝ)

HIGH CORRELATION

Distinct	132
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	763.06329

Minimum	145
Maximum	996
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	145
5-th percentile	408
Q1	662.25
median	794
Q3	911.25
95-th percentile	981.6
Maximum	996
Range	851
Interquartile range (IQR)	249

Descriptive statistics

Standard deviation	182.1388
Coefficient of variation (CV)	0.23869423
Kurtosis	1.2491673
Mean	763.06329
Median Absolute Deviation (MAD)	121
Skewness	-1.0813498
Sum	120564
Variance	33174.544
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
795	3	1.9%
622	3	1.9%
719	2	1.3%
915	2	1.3%
847	2	1.3%
561	2	1.3%
688	2	1.3%
938	2	1.3%
947	2	1.3%
961	2	1.3%
Other values (122)	136	86.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
145	1	0.6%
193	1	0.6%
211	1	0.6%
232	1	0.6%
274	1	0.6%
317	1	0.6%
318	1	0.6%
357	1	0.6%
417	1	0.6%
468	1	0.6%

Value	Count	Frequency (%)
996	2	1.3%
995	1	0.6%
994	1	0.6%
993	1	0.6%
990	1	0.6%
989	1	0.6%
985	1	0.6%
981	1	0.6%
980	1	0.6%
979	2	1.3%

Avg_Open_To_Buy
Real number (ℝ)

HIGH CORRELATION

Distinct	155
Distinct (%)	98.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5150.5759

Minimum	2654
Maximum	8959
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	2654
5-th percentile	2846.3
Q1	3501.5
median	4892.5
Q3	6528.75
95-th percentile	8203.15
Maximum	8959
Range	6305
Interquartile range (IQR)	3027.25

Descriptive statistics

Standard deviation	1790.2754
Coefficient of variation (CV)	0.34758742
Kurtosis	-1.1267665
Mean	5150.5759
Median Absolute Deviation (MAD)	1450.5
Skewness	0.3762689
Sum	813791
Variance	3205086
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3495	2	1.3%
2732	2	1.3%
6014	2	1.3%
8081	1	0.6%
6859	1	0.6%
2984	1	0.6%
5093	1	0.6%
4383	1	0.6%
3239	1	0.6%
2720	1	0.6%
Other values (145)	145	91.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2654	1	0.6%
2691	1	0.6%
2720	1	0.6%
2732	2	1.3%
2768	1	0.6%
2786	1	0.6%
2831	1	0.6%
2849	1	0.6%
2858	1	0.6%
2862	1	0.6%

Value	Count	Frequency (%)
8959	1	0.6%
8602	1	0.6%
8587	1	0.6%
8531	1	0.6%
8470	1	0.6%
8437	1	0.6%
8359	1	0.6%
8289	1	0.6%
8188	1	0.6%
8102	1	0.6%

Total_Amt_Chng_Q4_Q1
Real number (ℝ)

Distinct	142
Distinct (%)	89.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.77031646

Minimum	0.432
Maximum	2.275
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	0.432
5-th percentile	0.50655
Q1	0.64775
median	0.7505
Q3	0.85575
95-th percentile	1.0435
Maximum	2.275
Range	1.843
Interquartile range (IQR)	0.208

Descriptive statistics

Standard deviation	0.21401101
Coefficient of variation (CV)	0.2778222
Kurtosis	16.530341
Mean	0.77031646
Median Absolute Deviation (MAD)	0.1035
Skewness	2.8231936
Sum	121.71
Variance	0.045800715
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.647	3	1.9%
0.765	3	1.9%
0.815	2	1.3%
0.807	2	1.3%
0.681	2	1.3%
0.65	2	1.3%
0.676	2	1.3%
0.711	2	1.3%
0.85	2	1.3%
0.958	2	1.3%
Other values (132)	136	86.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.432	1	0.6%
0.456	1	0.6%
0.469	1	0.6%
0.471	1	0.6%
0.475	1	0.6%
0.485	1	0.6%
0.504	2	1.3%
0.507	1	0.6%
0.508	1	0.6%
0.511	1	0.6%

Value	Count	Frequency (%)
2.275	1	0.6%
1.705	1	0.6%
1.32	1	0.6%
1.193	1	0.6%
1.084	1	0.6%
1.079	1	0.6%
1.072	1	0.6%
1.052	1	0.6%
1.042	1	0.6%
1.029	1	0.6%

Total_Trans_Amt
Real number (ℝ)

HIGH CORRELATION

Distinct	153
Distinct (%)	96.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4772.4684

Minimum	791
Maximum	16737
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	791
5-th percentile	1346.5
Q1	2456.25
median	3945.5
Q3	4857
95-th percentile	14604.25
Maximum	16737
Range	15946
Interquartile range (IQR)	2400.75

Descriptive statistics

Standard deviation	3778.2852
Coefficient of variation (CV)	0.79168365
Kurtosis	2.7259701
Mean	4772.4684
Median Absolute Deviation (MAD)	1268
Skewness	1.8761048
Sum	754050
Variance	14275439
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3964	2	1.3%
4399	2	1.3%
4828	2	1.3%
14596	2	1.3%
1193	2	1.3%
4283	1	0.6%
5192	1	0.6%
2497	1	0.6%
4326	1	0.6%
4387	1	0.6%
Other values (143)	143	90.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
791	1	0.6%
842	1	0.6%
870	1	0.6%
990	1	0.6%
1165	1	0.6%
1193	2	1.3%
1321	1	0.6%
1351	1	0.6%
1359	1	0.6%
1438	1	0.6%

Value	Count	Frequency (%)
16737	1	0.6%
16179	1	0.6%
15865	1	0.6%
15471	1	0.6%
15380	1	0.6%
15352	1	0.6%
14786	1	0.6%
14651	1	0.6%
14596	2	1.3%
14593	1	0.6%

Total_Trans_Ct
Real number (ℝ)

HIGH CORRELATION

Distinct	72
Distinct (%)	45.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.746835

Minimum	22
Maximum	123
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	22
5-th percentile	28
Q1	49.25
median	70
Q3	81
95-th percentile	105.6
Maximum	123
Range	101
Interquartile range (IQR)	31.75

Descriptive statistics

Standard deviation	23.477306
Coefficient of variation (CV)	0.34654469
Kurtosis	-0.4133794
Mean	67.746835
Median Absolute Deviation (MAD)	15.5
Skewness	0.052535701
Sum	10704
Variance	551.18391
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	8	5.1%
79	5	3.2%
59	5	3.2%
81	5	3.2%
67	4	2.5%
38	4	2.5%
76	4	2.5%
70	4	2.5%
82	4	2.5%
78	4	2.5%
Other values (62)	111	70.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22	2	1.3%
24	2	1.3%
25	1	0.6%
26	1	0.6%
27	1	0.6%
28	2	1.3%
30	1	0.6%
31	2	1.3%
34	2	1.3%
35	4	2.5%

Value	Count	Frequency (%)
123	1	0.6%
122	2	1.3%
120	1	0.6%
117	1	0.6%
115	1	0.6%
109	2	1.3%
105	3	1.9%
104	1	0.6%
102	2	1.3%
101	1	0.6%

Total_Ct_Chng_Q4_Q1
Real number (ℝ)

Distinct	126
Distinct (%)	79.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.69213291

Minimum	0.231
Maximum	1.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	0.231
5-th percentile	0.37125
Q1	0.5795
median	0.669
Q3	0.78825
95-th percentile	1.083
Maximum	1.5
Range	1.269
Interquartile range (IQR)	0.20875

Descriptive statistics

Standard deviation	0.20818176
Coefficient of variation (CV)	0.30078292
Kurtosis	2.0395173
Mean	0.69213291
Median Absolute Deviation (MAD)	0.099
Skewness	0.84649393
Sum	109.357
Variance	0.043339645
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.694	3	1.9%
0.75	3	1.9%
0.64	3	1.9%
0.581	3	1.9%
0.667	3	1.9%
0.733	3	1.9%
0.652	3	1.9%
0.723	3	1.9%
0.556	2	1.3%
0.757	2	1.3%
Other values (116)	130	82.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.231	1	0.6%
0.273	1	0.6%
0.29	1	0.6%
0.3	1	0.6%
0.308	1	0.6%
0.333	1	0.6%
0.346	1	0.6%
0.35	1	0.6%
0.375	1	0.6%
0.4	2	1.3%

Value	Count	Frequency (%)
1.5	1	0.6%
1.417	1	0.6%
1.273	1	0.6%
1.258	1	0.6%
1.2	1	0.6%
1.147	1	0.6%
1.121	1	0.6%
1.083	2	1.3%
1.034	1	0.6%
0.977	1	0.6%

Avg_Utilization_Ratio
Real number (ℝ)

HIGH CORRELATION

Distinct	108
Distinct (%)	68.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.14063924

Minimum	0.016
Maximum	0.267
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	0.016
5-th percentile	0.061
Q1	0.10225
median	0.1355
Q3	0.181
95-th percentile	0.2353
Maximum	0.267
Range	0.251
Interquartile range (IQR)	0.07875

Descriptive statistics

Standard deviation	0.05241204
Coefficient of variation (CV)	0.3726701
Kurtosis	-0.45011028
Mean	0.14063924
Median Absolute Deviation (MAD)	0.039
Skewness	0.24741803
Sum	22.221
Variance	0.0027470219
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.126	4	2.5%
0.158	4	2.5%
0.186	3	1.9%
0.216	3	1.9%
0.189	3	1.9%
0.191	3	1.9%
0.104	3	1.9%
0.144	3	1.9%
0.122	3	1.9%
0.195	3	1.9%
Other values (98)	126	79.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.016	1	0.6%
0.039	1	0.6%
0.04	1	0.6%
0.042	1	0.6%
0.05	1	0.6%
0.053	1	0.6%
0.055	1	0.6%
0.061	2	1.3%
0.063	1	0.6%
0.067	1	0.6%

Value	Count	Frequency (%)
0.267	1	0.6%
0.262	1	0.6%
0.26	1	0.6%
0.255	1	0.6%
0.241	1	0.6%
0.24	1	0.6%
0.238	1	0.6%
0.237	1	0.6%
0.235	1	0.6%
0.225	1	0.6%

Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1
Real number (ℝ)

HIGH CORRELATION

Distinct	123
Distinct (%)	77.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1955359

Minimum	2.0889 × 10^-5
Maximum	0.99893
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	2.0889 × 10^-5
5-th percentile	3.58496 × 10^-5
Q1	9.350925 × 10^-5
median	0.00019864
Q3	0.00050046
95-th percentile	0.9971765
Maximum	0.99893
Range	0.99890911
Interquartile range (IQR)	0.00040695075

Descriptive statistics

Standard deviation	0.39663583
Coefficient of variation (CV)	2.0284552
Kurtosis	0.39098319
Mean	0.1955359
Median Absolute Deviation (MAD)	0.000127414
Skewness	1.5447176
Sum	30.894673
Variance	0.15731998
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.00019864	5	3.2%
0.00018665	4	2.5%
0.99499	4	2.5%
0.00031104	3	1.9%
0.00017987	3	1.9%
0.99683	3	1.9%
0.00011382	3	1.9%
7.1226 × 10^-5	2	1.3%
0.00011937	2	1.3%
4.7263 × 10^-5	2	1.3%
Other values (113)	127	80.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.0889 × 10^-5	1	0.6%
2.1081 × 10^-5	1	0.6%
2.2331 × 10^-5	1	0.6%
3.1176 × 10^-5	2	1.3%
3.3214 × 10^-5	2	1.3%
3.4833 × 10^-5	1	0.6%
3.6029 × 10^-5	1	0.6%
4.3568 × 10^-5	1	0.6%
4.7263 × 10^-5	2	1.3%
5.1697 × 10^-5	1	0.6%

Value	Count	Frequency (%)
0.99893	1	0.6%
0.99873	1	0.6%
0.99844	1	0.6%
0.99838	1	0.6%
0.99821	1	0.6%
0.99807	1	0.6%
0.99741	1	0.6%
0.99727	1	0.6%
0.99716	1	0.6%
0.99694	1	0.6%

Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
Real number (ℝ)

HIGH CORRELATION

Distinct	69
Distinct (%)	43.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.80446381

Minimum	0.00106612
Maximum	0.99998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.5 KiB

Quantile statistics

Minimum	0.00106612
5-th percentile	0.0028257355
Q1	0.9994975
median	0.9998
Q3	0.9999075
95-th percentile	0.9999615
Maximum	0.99998
Range	0.99891388
Interquartile range (IQR)	0.00041

Descriptive statistics

Standard deviation	0.3966355
Coefficient of variation (CV)	0.49304331
Kurtosis	0.39098316
Mean	0.80446381
Median Absolute Deviation (MAD)	0.00013
Skewness	-1.5447176
Sum	127.10528
Variance	0.15731972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.99993	10	6.3%
0.9998	10	6.3%
0.99989	8	5.1%
0.99969	7	4.4%
0.99991	7	4.4%
0.99994	6	3.8%
0.9999	6	3.8%
0.99981	5	3.2%
0.99982	5	3.2%
0.99983	5	3.2%
Other values (59)	89	56.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.00106612	1	0.6%
0.00127462	1	0.6%
0.00155735	1	0.6%
0.00162275	1	0.6%
0.00179304	1	0.6%
0.00193323	1	0.6%
0.00258725	1	0.6%
0.00272694	1	0.6%
0.00284317	1	0.6%
0.00305523	1	0.6%

Value	Count	Frequency (%)
0.99998	3	1.9%
0.99997	5	3.2%
0.99996	2	1.3%
0.99995	4	2.5%
0.99994	6	3.8%
0.99993	10	6.3%
0.99992	3	1.9%
0.99991	7	4.4%
0.9999	6	3.8%
0.99989	8	5.1%

Auto

Heatmap
Table

	CLIENTNUM	Customer_Age	Dependent_count	Months_on_book	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2	Attrition_Flag	Gender	Education_Level	Marital_Status	Income_Category	Total_Relationship_Count
CLIENTNUM	1.000	0.111	-0.185	0.205	-0.041	0.127	-0.052	-0.188	-0.038	0.035	0.006	0.018	-0.012	-0.040	0.074	-0.071	0.000	0.102	0.000	0.099	0.073	0.000
Customer_Age	0.111	1.000	-0.322	0.801	-0.051	0.039	-0.107	-0.080	-0.102	0.012	-0.003	-0.059	0.038	0.073	-0.024	0.022	0.112	0.000	0.095	0.055	0.000	0.109
Dependent_count	-0.185	-0.322	1.000	-0.252	0.078	-0.007	0.003	-0.026	0.004	0.018	0.163	0.083	0.035	-0.035	0.161	-0.157	0.165	0.000	0.069	0.054	0.093	0.000
Months_on_book	0.205	0.801	-0.252	1.000	0.002	0.023	-0.141	-0.131	-0.130	0.013	0.086	0.004	-0.002	0.077	-0.017	0.016	0.000	0.000	0.000	0.164	0.046	0.000
Months_Inactive_12_mon	-0.041	-0.051	0.078	0.002	1.000	0.136	0.001	-0.055	0.005	0.099	-0.010	-0.023	-0.095	-0.046	0.549	-0.551	0.317	0.063	0.000	0.000	0.000	0.073
Contacts_Count_12_mon	0.127	0.039	-0.007	0.023	0.136	1.000	-0.108	-0.153	-0.093	0.071	-0.065	-0.075	-0.012	0.013	0.693	-0.693	0.197	0.108	0.073	0.000	0.000	0.000
Credit_Limit	-0.052	-0.107	0.003	-0.141	0.001	-0.108	1.000	0.101	0.993	0.016	-0.100	-0.080	-0.195	-0.775	-0.086	0.088	0.000	0.269	0.000	0.000	0.172	0.037
Total_Revolving_Bal	-0.188	-0.080	-0.026	-0.131	-0.055	-0.153	0.101	1.000	-0.003	0.059	0.107	0.183	0.094	0.489	-0.249	0.249	0.564	0.000	0.135	0.124	0.039	0.097
Avg_Open_To_Buy	-0.038	-0.102	0.004	-0.130	0.005	-0.093	0.993	-0.003	1.000	0.005	-0.117	-0.107	-0.216	-0.839	-0.055	0.057	0.000	0.239	0.000	0.000	0.111	0.013
Total_Amt_Chng_Q4_Q1	0.035	0.012	0.018	0.013	0.099	0.071	0.016	0.059	0.005	1.000	0.072	0.007	0.305	0.029	0.086	-0.082	0.090	0.279	0.000	0.000	0.169	0.000
Total_Trans_Amt	0.006	-0.003	0.163	0.086	-0.010	-0.065	-0.100	0.107	-0.117	0.072	1.000	0.881	0.261	0.158	-0.211	0.214	0.402	0.098	0.078	0.000	0.000	0.204
Total_Trans_Ct	0.018	-0.059	0.083	0.004	-0.023	-0.075	-0.080	0.183	-0.107	0.007	0.881	1.000	0.256	0.200	-0.294	0.296	0.573	0.000	0.000	0.126	0.000	0.141
Total_Ct_Chng_Q4_Q1	-0.012	0.038	0.035	-0.002	-0.095	-0.012	-0.195	0.094	-0.216	0.305	0.261	0.256	1.000	0.248	-0.200	0.198	0.276	0.179	0.057	0.021	0.000	0.022
Avg_Utilization_Ratio	-0.040	0.073	-0.035	0.077	-0.046	0.013	-0.775	0.489	-0.839	0.029	0.158	0.200	0.248	1.000	-0.115	0.115	0.416	0.223	0.072	0.263	0.177	0.134
Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	0.074	-0.024	0.161	-0.017	0.549	0.693	-0.086	-0.249	-0.055	0.086	-0.211	-0.294	-0.200	-0.115	1.000	-0.999	0.980	0.000	0.000	0.000	0.163	0.230
Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2	-0.071	0.022	-0.157	0.016	-0.551	-0.693	0.088	0.249	0.057	-0.082	0.214	0.296	0.198	0.115	-0.999	1.000	0.980	0.000	0.000	0.000	0.163	0.230
Attrition_Flag	0.000	0.112	0.165	0.000	0.317	0.197	0.000	0.564	0.000	0.090	0.402	0.573	0.276	0.416	0.980	0.980	1.000	0.000	0.000	0.000	0.163	0.230
Gender	0.102	0.000	0.000	0.000	0.063	0.108	0.269	0.000	0.239	0.279	0.098	0.000	0.179	0.223	0.000	0.000	0.000	1.000	0.000	0.149	0.792	0.000
Education_Level	0.000	0.095	0.069	0.000	0.000	0.073	0.000	0.135	0.000	0.000	0.078	0.000	0.057	0.072	0.000	0.000	0.000	0.000	1.000	0.027	0.000	0.000
Marital_Status	0.099	0.055	0.054	0.164	0.000	0.000	0.000	0.124	0.000	0.000	0.000	0.126	0.021	0.263	0.000	0.000	0.000	0.149	0.027	1.000	0.000	0.000
Income_Category	0.073	0.000	0.093	0.046	0.000	0.000	0.172	0.039	0.111	0.169	0.000	0.000	0.000	0.177	0.163	0.163	0.163	0.792	0.000	0.000	1.000	0.000
Total_Relationship_Count	0.000	0.109	0.000	0.000	0.073	0.000	0.037	0.097	0.013	0.000	0.204	0.141	0.022	0.134	0.230	0.230	0.230	0.000	0.000	0.000	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	CLIENTNUM	Attrition_Flag	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
38	715190283	Existing Customer	57	F	1	Graduate	Unknown	$40K - $60K	Blue	49	3	3	2	3672.0	886	2786.0	1.320	1464	28	0.556	0.241	0.000169	0.999830
58	711427458	Existing Customer	44	F	5	Graduate	Married	Unknown	Blue	35	4	1	2	6273.0	978	5295.0	2.275	1359	25	1.083	0.156	0.000057	0.999940
258	714187533	Existing Customer	45	F	2	Uneducated	Single	$40K - $60K	Blue	35	2	3	0	3540.0	849	2691.0	0.456	1321	28	0.750	0.240	0.000068	0.999930
509	716223708	Attrited Customer	45	F	3	Uneducated	Single	Unknown	Blue	36	3	3	3	4028.0	710	3318.0	0.731	791	22	0.833	0.176	0.996910	0.003088
573	715416633	Existing Customer	54	M	1	Unknown	Married	$80K - $120K	Blue	36	4	1	2	6175.0	960	5215.0	0.709	1847	59	0.405	0.155	0.000057	0.999940
622	711628458	Existing Customer	45	F	3	Graduate	Married	Less than $40K	Blue	31	4	1	0	8829.0	901	7928.0	0.825	1902	45	0.667	0.102	0.000021	0.999980
716	789291633	Existing Customer	62	M	0	Graduate	Married	$60K - $80K	Blue	51	3	2	0	5450.0	967	4483.0	0.701	1526	45	0.800	0.177	0.000036	0.999960
771	715271733	Existing Customer	50	F	2	Uneducated	Single	Less than $40K	Blue	37	3	3	0	8520.0	814	7706.0	0.504	1193	35	0.346	0.096	0.000068	0.999930
950	788814783	Existing Customer	39	M	1	Uneducated	Single	$60K - $80K	Blue	22	4	3	3	9204.0	845	8359.0	0.673	1820	58	0.611	0.092	0.000292	0.999710
1005	772532208	Attrited Customer	51	F	2	Doctorate	Married	Less than $40K	Blue	41	2	2	3	6630.0	916	5714.0	0.927	842	24	0.500	0.138	0.996400	0.003596

	CLIENTNUM	Attrition_Flag	Customer_Age	Gender	Dependent_count	Education_Level	Marital_Status	Income_Category	Card_Category	Months_on_book	Total_Relationship_Count	Months_Inactive_12_mon	Contacts_Count_12_mon	Credit_Limit	Total_Revolving_Bal	Avg_Open_To_Buy	Total_Amt_Chng_Q4_Q1	Total_Trans_Amt	Total_Trans_Ct	Total_Ct_Chng_Q4_Q1	Avg_Utilization_Ratio	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_1	Naive_Bayes_Classifier_Attrition_Flag_Card_Category_Contacts_Count_12_mon_Dependent_count_Education_Level_Months_Inactive_12_mon_2
9834	788019483	Existing Customer	49	M	3	Graduate	Married	$80K - $120K	Blue	40	4	1	3	3660.0	766	2894.0	0.535	14515	122	0.848	0.209	0.000096	0.99990
9864	720633558	Existing Customer	37	F	3	Graduate	Divorced	Less than $40K	Blue	24	3	3	4	3727.0	995	2732.0	0.743	14786	101	0.656	0.267	0.000535	0.99946
9895	708880683	Existing Customer	49	M	5	College	Married	$40K - $60K	Blue	40	4	3	4	3970.0	892	3078.0	0.772	13697	102	0.759	0.225	0.000518	0.99948
9929	779082633	Existing Customer	30	M	2	Uneducated	Single	$60K - $80K	Blue	13	3	2	3	4107.0	979	3128.0	0.647	14596	104	0.733	0.238	0.000197	0.99980
9993	719934783	Existing Customer	43	M	3	Doctorate	Married	$80K - $120K	Blue	27	4	2	2	3676.0	673	3003.0	0.629	14651	105	0.780	0.183	0.000171	0.99983
10037	789398733	Existing Customer	56	M	3	Graduate	Married	$120K +	Blue	46	3	3	2	5270.0	779	4491.0	0.731	16179	105	0.694	0.148	0.000187	0.99981
10041	767348733	Existing Customer	56	M	2	Unknown	Married	$60K - $80K	Blue	49	3	3	3	4058.0	793	3265.0	0.758	15865	105	0.667	0.195	0.000333	0.99967
10087	713768358	Existing Customer	45	M	4	Graduate	Single	$40K - $60K	Blue	35	3	2	2	7935.0	888	7047.0	0.779	15380	122	0.694	0.112	0.000119	0.99988
10099	709094358	Existing Customer	51	F	1	Graduate	Single	Less than $40K	Blue	41	4	2	3	8900.0	798	8102.0	0.647	16737	88	0.660	0.090	0.000180	0.99982
10121	713899383	Existing Customer	56	F	1	Graduate	Single	Less than $40K	Blue	50	4	1	4	3688.0	606	3082.0	0.570	14596	120	0.791	0.164	0.000148	0.99985

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Currency Symbol

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values